Complexity and Vulnerability Analysis of the C. Elegans Gap Junction Connectome
AbstractWe apply a network complexity measure to the gap junction network of the somatic nervous system of C. elegans and find that it possesses a much higher complexity than we might expect from its degree distribution alone. This “excess” complexity is seen to be caused by a relatively small set of connections involving command interneurons. We describe a method which progressively deletes these “complexity-causing” connections, and find that when these are eliminated, the network becomes significantly less complex than a random network. Furthermore, this result implicates the previously-identified set of neurons from the synaptic network’s “rich club” as the structural components encoding the network’s excess complexity. This study and our method thus support a view of the gap junction Connectome as consisting of a rather low-complexity network component whose symmetry is broken by the unique connectivities of singularly important rich club neurons, sharply increasing the complexity of the network. View Full-Text
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Kunert-Graf, J.M.; Sakhanenko, N.A.; Galas, D.J. Complexity and Vulnerability Analysis of the C. Elegans Gap Junction Connectome. Entropy 2017, 19, 104.
Kunert-Graf JM, Sakhanenko NA, Galas DJ. Complexity and Vulnerability Analysis of the C. Elegans Gap Junction Connectome. Entropy. 2017; 19(3):104.Chicago/Turabian Style
Kunert-Graf, James M.; Sakhanenko, Nikita A.; Galas, David J. 2017. "Complexity and Vulnerability Analysis of the C. Elegans Gap Junction Connectome." Entropy 19, no. 3: 104.
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